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Titlebook: Applied Probability; From Random Experime Valérie Girardin,Nikolaos Limnios Textbook 2022 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 18:48:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Probability
期刊簡稱From Random Experime
影響因子2023Valérie Girardin,Nikolaos Limnios
視頻videohttp://file.papertrans.cn/161/160059/160059.mp4
發(fā)行地址Presents a self-contained, comprehensive, accessible course on probability.Features numerous exercises with detailed solutions and examples from applied fields.Provides the necessary first step to mor
圖書封面Titlebook: Applied Probability; From Random Experime Valérie Girardin,Nikolaos Limnios Textbook 2022 The Editor(s) (if applicable) and The Author(s),
影響因子This textbook presents the basics of probability and statistical estimation, with a view to applications. The didactic presentation follows a path of increasing complexity with a constant concern for pedagogy, from the most classical formulas of probability theory to the asymptotics of independent random sequences and an introduction to inferential statistics. The necessary basics on measure theory are included to ensure the book is self-contained. Illustrations are provided from many applied fields, including information theory and reliability theory. Numerous examples and exercises in each chapter, all with solutions, add to the main content of the book..Written in an accessible yet rigorous style, the book is addressed to advanced undergraduate students in mathematics and graduate students in applied mathematics and statistics. It will also appeal to students and researchers in other disciplines, including computer science, engineering, biology, physicsand economics, who are interested in a pragmatic introduction to the probability modeling of random phenomena..
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https://doi.org/10.1007/978-3-030-97963-8Probability Theory; Statistical Inference; Random Variables; Random Sequences; Random Vectors; Stochastic
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Environmental Chemistry of NitrogenIn this chapter, all the tools necessary to investigate one random variable at a time are presented. They include specific probabilistic tools such as distributions, distribution functions, densities, reliability, as well as analytical tools, such as Lebesgue integrals, generating functions, Fourier transform.
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Random Variables,In this chapter, all the tools necessary to investigate one random variable at a time are presented. They include specific probabilistic tools such as distributions, distribution functions, densities, reliability, as well as analytical tools, such as Lebesgue integrals, generating functions, Fourier transform.
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Random Vectors,While Chap. . investigates one real random variable at a time, the present chapter is dedicated to studying simultaneously several random variables, which are multivariate random variables, also called random vectors.
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